06787 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06787 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,110, 100% | 1,490,381 | 132,741,033 |
1 Room | 75, 2.41%, see rank | 1.93% | 1.95% |
2 Rooms | 63, 2.03%, see rank | 2.44% | 2.48% |
3 Rooms | 107, 3.44%, see rank | 8.62% | 9.13% |
4 Rooms | 374, 12.03%, see rank | 15.12% | 16.60% |
5 Rooms | 697, 22.41%, see rank | 18.84% | 20.41% |
6 Rooms | 648, 20.84%, see rank | 17.57% | 18.06% |
7 Rooms | 521, 16.75%, see rank | 13.35% | 12.27% |
8 Rooms | 356, 11.45%, see rank | 9.85% | 8.48% |
9 Rooms or More | 269, 8.65%, see rank | 12.29% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06787 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,255, 100% | 1,485,445 | 131,642,457 |
1 Room | 25, 0.77%, see rank | 1.97% | 1.95% |
2 Rooms | 110, 3.38%, see rank | 2.36% | 2.36% |
3 Rooms | 139, 4.27%, see rank | 8.52% | 8.97% |
4 Rooms | 488, 14.99%, see rank | 14.95% | 16.57% |
5 Rooms | 624, 19.17%, see rank | 18.64% | 20.41% |
6 Rooms | 702, 21.57%, see rank | 17.96% | 18.25% |
7 Rooms | 479, 14.72%, see rank | 13.29% | 12.38% |
8 Rooms | 367, 11.27%, see rank | 9.91% | 8.59% |
9 Rooms or More | 321, 9.86%, see rank | 12.40% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06787 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,497, 100% | 1,385,975 | 115,904,641 |
1 Room | 16, 0.46%, see rank | 1.63% | 2.20% |
2 Rooms | 99, 2.83%, see rank | 3.86% | 4.81% |
3 Rooms | 192, 5.49%, see rank | 8.46% | 9.84% |
4 Rooms | 644, 18.42%, see rank | 14.58% | 15.97% |
5 Rooms | 688, 19.67%, see rank | 19.63% | 20.89% |
6 Rooms | 686, 19.62%, see rank | 18.36% | 18.45% |
7 Rooms | 564, 16.13%, see rank | 13.63% | 12.06% |
8 Rooms | 368, 10.52%, see rank | 10.08% | 8.06% |
9 Rooms or More | 240, 6.86%, see rank | 9.76% | 7.70% |
Median Rooms | 5.70, see rank | 5.60 | 5.30 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.